Teach Data Science

a data science blog - 2019 & 2020

In the summers of 2019 and 2020, Jo Hardin (Pomona College), Hunter Glanz (Cal Poly San Luis Obsipo), and Nick Horton (Amherst College) blogged daily about topics relevant to teaching data science. Below are a list of the blog topics with links to the entries. Of note, during the summer of 2020, the majority of entries were related to data science ethics.

Teach Data Science

https://teachdatascience.com/

Blog topics in 2019

• data science software
  • Getting Started with R Markdown
  • Projects in RStudio
  • Github for Fun and Profit
  • Using GitHub in R
  • GitHub Classroom
  • RStudio Server Pro and Rstudio.cloud installations
  • Getting Started with Jupyter and JupyterHub
• data ingestation
  • Ingesting Data
  • SQL 101 in R
  • Counting commits and code review
  • Writing R data packages
• data technologies
  • Leaflet for mapping
  • infer
  • Less Volume More Creativity in R
  • Style Guides for Coding
  • Creating Tutorials and Lessons in R using learnr
  • Five Quick Tips for Coding in the Classroom
  • Teaching refactoring to improve code
  • Using CODAP to teach data science
  • reprex: Help me help you
  • Parallel processing and sparklyr
  • reticulate: running Python within RStudio
  • Writing R data packages
  • testthat
  • Counting commits and code review
  • One model to rule them all
  • Cloud computing redux
• data wrangling
  • The Tidyverse
  • pandas
  • reticulate: running Python within RStudio
• visualization and exploration
  • Teaching Data Visualization
  • An Introduction to R Shiny
  • Using Shiny in the Classroom
• communication
  • Watching an expert work through a data analysis using the tidyverse
  • Not So Standard Deviations: not your average data science podcast
  • Diversity in Data Science & Statistics
  • Practical Data Science: an introduction to the PeerJ collection
  • Pair Programming for Data Science and Statistics
  • Data Science for Good
  • The Conversation Around p-values
  • useR!
  • data8
  • data100
  • The Python Community
  • Algorithmic Bias
• key reports and findings
  • Data Science for Undergraduates
  • Guidelines for Assessment and Instruction in Statistics Education
  • Roundtable on Data Science Post Secondary Education
  • Undergraduate Curriculum Guidelines
  • Breiman’s Two Cultures

Blog topics in 2020

• curricula and structure
  • Re-Introduction: Ethics in Data Science Education
  • Keeping Busy with Data Science
  • Integrating ethics training into any quantitative course
  • Roundtable on Data Science Post Secondary Education (2019)
  • Data Science for Undergraduates (2019)
• data sets and case studies
  • Engaging data science students with COVID-19 data
  • Social Justice & Data Science
  • Data Sources
  • Ethical Data Viz
  • Data Science for Good (2019)
  • Algorithmic Bias (2019)
• philosophy
  • Philosophical Ethics for Data Science
  • Hippocratic Oath
  • Data Privacy
• discourse
  • Bookclub on Data Science Ethics
  • Data Feminism
  • A preview of the JSM, with focus on ethics relates session in 2020
  • Diversity in Data Science & Statistics (2019)